Experiment II. This second experimental setup was utilized in [1]}
in order to evaluate how well a given detection method generalizes to unseen
generative models. The dataset used here contains images synthesized by a wide variety of generative
models. All of them have an
upsampling-convolutional structure. In the training set, fake images from
20 object categories are generated by the ProGAN model only. There are
720K real/fake image pairs in the training set and 4K images in the
validation set. In the testing set, fake images are generated by the following eleven models: ProGAN [2]}, StyleGAN [3]}, BigGAN [4]}, CycleGAN [5]}, StarGAN [6]}, GauGAN [7]}, CRN [8]}, IMLE
[9]}, SITD [10]}, SAN
[11]}, and Deepfake [12]}.
